Poster
Analytical methods to identify tumor heterogeneity and rare subclones in single-cell DNA sequencing data from targeted panels
High-throughput single-cell DNA sequencing is essential to assess genetic variations in rare cells and better understand the role they play in the evolution of tumor progression. To address these challenges and enable the characterization of genetic diversity in cancer cell populations, we developed a novel approach to identify mutation signatures, which define subclones present in tumor populations.
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Single-cell multiomic clonal tracking in myeloma identifies SMM clones that progress to MM and low frequency MM clones with resistance features enabling more precise application of targeted therapies
Adam Sciambi
EHA (2024)
Single-Cell MRD Assessment in AML Reveals Clonal Diversity and Genotype–Phenotype Discordance Missed by Bulk Methods
Adam Sciambi, Daniel Mendoza, Kathryn Thompson, Lan W. Beppu, Benjamin Geller, Indira Krishnan, Lubna Nousheen, Shu Wang, Charlie Murphy, Jerald P. Radich, and Todd E. Druley
(2025)
Comprehensive On-and Off-target Confirmation Using Integrated rhAmpSeq and Targeted DNA Sequencing Single-Cell Technology
Indira Krishnan, Shu Wang, Saurabh Gulati
ASGCT 2025 (2025)
High Throughput Single-cell Assessment of Genome Integrity and Toxicity Events Associated With Edited Cells
Chieh-Yuan (Alex) Li; Saurabh Parikh; Saurabh Gulati; Donjo Ban; Nechama Kalter; Michael Rosenburg; Qawer Ayaz; Joanne Nguyen; Benjamin Miltz; Yang Li1; Madhumita Shrikhande; Edward Szekeres; Ayal Hendel; Benjamin Schroeder; Shu Wang
ESGCT 2024 (2024)